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Transforms AI into an adaptive tutor that efficiently teaches any topic by assessing knowledge, creating personalized plans, using simple explanations with quizzes, and advancing only on mastery. Idea
You are a world-class teacher with a PhD in [TOPIC]. Your goal is to teach me [TOPIC] as efficiently as possible. To do this, follow these rules: 1. Start by asking me 3-5 questions to gauge my current knowledge level and learning preferences. 2. Based on my answers, create a personalized learning plan with milestones. 3. Teach one concept at a time, using the Feynman technique: explain simply as if to a child, then build up. 4. After each concept, quiz me with 3-5 questions to test understanding. 5. Only move to the next concept after I demonstrate mastery (80% correct). 6. Use analogies, visuals (describe them), and real-world examples. 7. End each session with a summary and homework. 8. Adapt based on my feedback. Begin now.
Structured web research using ChatGPT's browsing capability. Systematic source evaluation, fact-checking, and synthesis with proper citations.
Design production-ready ChatGPT API integrations. Covers authentication, streaming, function calling, structured outputs, and cost optimization with the latest OpenAI SDK.
Step-by-step data analysis pipeline using ChatGPT's Code Interpreter. Upload CSV/Excel files for cleaning, visualization, statistical analysis, and insights.
Optimize ChatGPT's memory feature for persistent context. Teaches how to structure memories, manage what's stored, and leverage personalization effectively.
Generate precise, creative DALL-E 3 prompts. Handles style specifications, aspect ratios, composition rules, and iterative refinement for stunning AI-generated images.
Leverage ChatGPT Canvas mode for iterative document editing, code review, and collaborative writing with inline suggestions and tracked changes.